Interactive exploration of the StudyForrest data allows for more hands-on experience before diving into detailed analyses. Here you can explore and view aspects such as functional data quality measures, cortical parcellations, white matter tracts, and 3D visualizations of a variety of structural imaging modalities and statistical analysis outcomes.
TODO: Emulate https://www.studyforrest.org/pages/mod_dwi.html.
wm_streamlines.trk is needed.
Note: replace the following with a better description. fMRI statistical analysis output from an extension to the studyforrest dataset: Hanke, M., Dinga, R., Häusler, C., Guntupalli, J. S., Casey, M., Kaule, F. R., & Stadler, J. (2015). High-resolution 7-Tesla fMRI data on the perception of musical genres – an extension to the studyforrest dataset. F1000Research, 4, 174. doi:10.12688/f1000research.6679.1
NOTE: embedded an iframe from the 3D view of https://neurovault.org/collections/308. Not sure how to easily embed the Papaya viewer component from Neurovault.
TODO: embed NeuroVault in an iframe, or host Papaya and hotlink to a remote NifTI.
TODO: are we doing this?
Since head movement during the acquisition of a functional MRI time series can be detrmental for the eventual data analysis and results, volume-to-volume head movement parameters are typically inspected as a quality indicator of fMRI data. Framewise displacement (FD) captures head movement in a single value per volume, resulting in an FD time series per functional run. Below we present interactive distribution plots of FD values for all participants over all runs. FD distributions and an example time series are also presented for a single subject and a single run.